{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from ggplot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ggplot: (292943669)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArcAAAIACAYAAACYUkS6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3X14VPWd///XmRuSkMkkAZJeMChiiUHBDZq1sEuAplaB\nRqAFYr2r2FKryEL3D3fXru5a6169uvVq67VerNVtawXb2gQDLNJVWat8E3u1KhuySk0Eq2AS2YQb\nM5Mhd5M5vz/4ZcqYyQ3JJDPzyfPxFzlzMvM+4cXw4vCZcyzbtm0BAAAABnAkegAAAAAgXii3AAAA\nMAblFgAAAMag3AIAAMAYlFsAAAAYg3ILAAAAY7iG2uHkyZPauXNn5OszZ86otLRURUVFqqysVFtb\nm3JyclReXq709HRJUnV1tWpra+VwOLRixQrNmTNHktTc3Kzdu3crFAqpoKBAK1euHKPDAgAAwERk\nXch1bsPhsH74wx/qzjvv1Ouvv66MjAyVlJSopqZGHR0duu6669TS0qKqqirdeeed8vv92r59u7Zu\n3SrLsvQf//Ef+sIXviCfz6dnnnlGixYtihRfAAAAYLQuaFnCn/70J02ZMkXZ2dmqr6/XggULJElF\nRUWqr6+XJDU0NGj+/PlyOp3Kzc3V1KlT1dTUpEAgoK6uLvl8vn7fAwAAAMTDBZXbw4cP68orr5Qk\nBYNBeTweSVJWVpaCwaAkKRAIyOv1Rr4nKytLfr+/33av1yu/3z/qAwAAAAD6DLnmtk9vb68aGhr0\n+c9/PubjlmWNahC/36/29vaobR6PJ6oQAwAAAIMZdrk9cuSIpk+frszMTEnnimd7e7s8Ho8CgUBk\ne9+Z2j5+v19er3fA7X0OHjyoAwcORL3msmXLVFpaOrIjAwAAwIQz7HL79ttvR5YkSFJhYaEOHTqk\nkpIS1dXVqbCwMLK9qqpKixYtUiAQ0OnTp+Xz+WRZltLS0tTY2Cifz6e6ujotXLgw8nzFxcWR5+jj\n8Xh05swZhUKh0R6nMdLS0tTV1ZXoMZKGy+VSbm4uOYmBrEQjK7GRk/7ISmxkJVpfTpB8hlVuu7u7\n9ac//UmrVq2KbFu8eLEqKytVW1ur7OxslZeXS5Ly8/M1b948bdu2TU6nU2VlZZElC2VlZVGXAiso\nKIg8n9frjbkEobW1VT09PaM6SJO4XC5+HjGEQiF+Lp9AVmIjK9HIycDISjSyglRxQZcCSwTKbbSM\njAx1dHQkeoyk4Xa7lZeXR05iICvRyEps5KQ/shIbWYnWlxMkH+5QBgAAAGNQbgEAAGAMyi0AAACM\nQbkFAACAMSi3AAAAMAblFgAAAMag3AIAAMAYlFsAAAAYg3ILAAAAY1BuAQAAYAzKLQAAAIxBuQUA\nAIAxKLcAAAAwBuUWAAAAxqDcAgAAwBiUWwAAABiDcgsAAABjUG4BAABgDMotAAAAjEG5BQAAgDEo\ntwAAADAG5RYAAADGoNwCAADAGJRbAAAAGINyCwAAAGNQbgEAAGAMyi0AAACMQbkFAACAMSzbtu1E\nDzGQzs5OdXZ2KolHHHcOh0PhcDjRYyQNy7I0adIkdXd3k5NPICvRyEps5KQ/shIbWYlmWZZycnIS\nPQZicCV6gMGkp6crEAiop6cn0aMkjYyMDHV0dCR6jKThdruVk5OjYDBITj6BrEQjK7GRk/7ISmxk\nJZrb7U70CBgAyxIAAABgDMotAAAAjEG5BQAAgDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGINy\nCwAAAGNQbgEAAGAMyi0AAACMQbkFAACAMSi3AAAAMAblFgAAAMag3AIAAMAYrkQPMBq9YVtdYamz\nN9GTjN4kh+S0pAyXlehRAAAAUlZKl1tb0nMfSHs/TPQko3fVFGnrFYmeAgAAILWxLAEAAADGoNwC\nAADAGJRbAAAAGINyCwAAAGNQbgEAAGAMyi0AAACMQbkFAACAMSi3AAAAMAblFgAAAMYY1h3KOjs7\n9Z//+Z9qaWmRZVlas2aNpk6dqsrKSrW1tSknJ0fl5eVKT0+XJFVXV6u2tlYOh0MrVqzQnDlzJEnN\nzc3avXu3QqGQCgoKtHLlyrE7MgAAAEw4wyq3//Vf/6WCggLdeOON6u3tVU9Pj6qrq3XppZeqpKRE\nNTU1qq6u1nXXXaeWlhYdPnxYmzdvlt/v1/bt27V161ZZlqV9+/ZpzZo18vl8euaZZ3T06NFI8QUA\nAABGa8hlCZ2dnTp+/LiuuuoqSZLT6VR6errq6+u1YMECSVJRUZHq6+slSQ0NDZo/f76cTqdyc3M1\ndepUNTU1KRAIqKurSz6fr9/3AAAAAPEw5Jnbjz/+WJMnT9bu3bt14sQJzZgxQytWrFAwGJTH45Ek\nZWVlKRgMSpICgYBmzpwZ+f6srCz5/X45HA55vd7Idq/XK7/fH+/jAQAAwAQ2ZLkNh8P66KOP9IUv\nfEE+n08vvPCCampq+u1nWdaoBvH7/Wpvb4/a5vF45HINPGK4JyQpPKrXTSaWw5Lb7R50H6fTOeQ+\nE0lfPgbLyURFVqKRldjISX9kJTayEo18JK8hf2e8Xq+8Xm9kOcHll1+umpoaeTwetbe3y+PxKBAI\nKDMzU9Kfz9T28fv98nq9A27vc/DgQR04cCDqtZctW6bS0tIBZzv18ceSgsM70hTgdrmVl5eX6DFS\nUm5ubqJHQIogKxgusgKkpiHLrcfjUXZ2tk6ePKlp06bp/fffV35+vvLz83Xo0CGVlJSorq5OhYWF\nkqTCwkJVVVVp0aJFCgQCOn36tHw+nyzLUlpamhobG+Xz+VRXV6eFCxdGXqe4uDjyHOe/9pkzZxQK\nhWLO1tUTe3uq6gn1qLW1ddB90tLS1NXVNU4TJT+Xy6Xc3NxBczJRkZVoZCU2ctIfWYmNrETrywmS\nz7DOqa9cuVJVVVXq7e1Vbm6uvvjFLyocDquyslK1tbXKzs5WeXm5JCk/P1/z5s3Ttm3b5HQ6VVZW\nFlmyUFZWFnUpsIKCgshr9J0h/qTW1lb19PTEnCscti/4gJOZHbYHPNY+LpdryH0molAoxM/lE8hK\nbGQlGjkZGFmJRlaQKizbtpO6IQ5WbkNhW7/6k7T3w3EeagxcNUXaeoWU6R587XJGRoY6OjrGaark\n53afW8oxWE4mKrISjazERk76IyuxkZVofTlB8uEOZQAAADAG5RYAAADGoNwCAADAGJRbAAAAGINy\nCwAAAGNQbgEAAGAMyi0AAACMQbkFAACAMSi3AAAAMAblFgAAAMag3AIAAMAYlFsAAAAYg3ILAAAA\nY1BuAQAAYAzKLQAAAIxBuQUAAIAxKLcAAAAwBuUWAAAAxqDcAgAAwBiUWwAAABiDcgsAAABjUG4B\nAABgDMotAAAAjEG5BQAAgDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGMOV6AEG09nZKbfbLZcr\n9pgdXd2SQuM71BhyOBzKyEgfxj4Z4zRR8rMsS2fPnh00JxMVWYlGVmIjJ/2RldjISjTLshI9AgaQ\n1H9q09PTFQgE1NPTE/PxUNge54nGVjgcVkdHx6D7ZGRkDLnPROJ2u5WTk6NgMDhgTiYqshKNrMRG\nTvojK7GRlWhutzvRI2AALEsAAACAMSi3AAAAMAblFgAAAMag3AIAAMAYlFsAAAAYg3ILAAAAY1Bu\nAQAAYAzKLQAAAIyR0uXWllk3cQAAAMDopHS5DYfNufUuAAAARi+lyy0AAABwPsotAAAAjEG5BQAA\ngDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGINyCwAAAGNQbgEAAGAMyi0AAACMQbkFAACAMSi3\nAAAAMAblFgAAAMag3AIAAMAYlFsAAAAYwzWcnX70ox8pPT1dlmXJ4XDoG9/4hjo6OlRZWam2tjbl\n5OSovLxc6enpkqTq6mrV1tbK4XBoxYoVmjNnjiSpublZu3fvVigUUkFBgVauXDl2RwYAAIAJZ1jl\n1rIs3XHHHcrIyIhsq6mp0aWXXqqSkhLV1NSourpa1113nVpaWnT48GFt3rxZfr9f27dv19atW2VZ\nlvbt26c1a9bI5/PpmWee0dGjRyPFFwAAABitYS9LsG076uv6+notWLBAklRUVKT6+npJUkNDg+bP\nny+n06nc3FxNnTpVTU1NCgQC6urqks/n6/c9AAAAQDwM68ytJG3fvl0Oh0PFxcUqLi5WMBiUx+OR\nJGVlZSkYDEqSAoGAZs6cGfm+rKws+f1+ORwOeb3eyHav1yu/3x+v4wAAAACGV243btwYKbA7duzQ\ntGnT+u1jWdaoBvH7/Wpvb4/a5vF45HINPGJXqHtUr5l0LEtut3vQXZxO55D7TCR9+RgsJxMVWYlG\nVmIjJ/2RldjISjTykbyG9TuTlZUlScrMzNTcuXPV1NQkj8ej9vZ2eTweBQIBZWZmRvY9/4ys3++X\n1+sdcHufgwcP6sCBA1Gvu2zZMpWWlg4419nGjuGMnzKcDofy8vISPUZKys3NTfQISBFkBcNFVoDU\nNGS57e7ulm3bSktLU3d3t9577z0tW7ZMhYWFOnTokEpKSlRXV6fCwkJJUmFhoaqqqrRo0SIFAgGd\nPn1aPp9PlmUpLS1NjY2N8vl8qqur08KFCyOvU1xcHHmOPh6PR2fOnFEoFIo5WzgcluQcxeEnl95w\nWK2trYPuk5aWpq6urnGaKPm5XC7l5uYOmpOJiqxEIyuxkZP+yEpsZCVaX06QfIYst8FgUM8++6ws\ny1I4HNaVV16pOXPmaMaMGaqsrFRtba2ys7NVXl4uScrPz9e8efO0bds2OZ1OlZWVRZYslJWVRV0K\nrKCgIPI6Xq836kxun9bWVvX09MTreJObbQ95rC6Xa+L8PC5AKBTi5/IJZCU2shKNnAyMrEQjK0gV\nlv3JyyAkmcHKbVeoWxUfuLX3w3EeagxcNUXaeoWU6R587XJGRoY6OsxajjEabrdbeXl5E+sfQcNE\nVqKRldjISX9kJTayEq0vJ0g+3KEMAAAAxqDcAgAAwBiUWwAAABiDcgsAAABjUG4BAABgDMotAAAA\njEG5BQAAgDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGINyCwAAAGNQbgEAAGAMyi0AAACMQbkF\nAACAMSi3AAAAMAblFgAAAMag3AIAAMAYlFsAAAAYg3ILAAAAY1BuAQAAYAzKLQAAAIxBuQUAAIAx\nKLcAAAAwBuUWAAAAxqDcAgAAwBiUWwAAABiDcgsAAABjuBI9wGA6OzvldrvlcsUes7u9Z5wnGluW\nZSkjI2PQfRwOx5D7TCSWZens2bOD5mSiIivRyEps5KQ/shIbWYlmWVaiR8AAkvpPbXp6ugKBgHp6\nYpdY27bHeaKxZdu2Ojo6Bt0nIyNjyH0mErfbrZycHAWDwQFzMlGRlWhkJTZy0h9ZiY2sRHO73Yke\nAQNgWQIAAACMQbkFAABAXHz1q1/VH//4x2Ht+/3vf1/Hjh3TsWPHtH///rjNQLkFAADAuLJtW3//\n93+vWbNm6YMPPtBLL70Ut+dO6jW3AAAASG5/8zd/o7feektOp1OZmZmSpJaWFt10003q7e3Vpz71\nKf3617/W8ePHdfvtt2vGjBkqKipSQ0OD7r33Xj3++OP63e9+p4MHD2rLli2qr6/Xt771LQUCAa1d\nu/aCz+py5hYAAAAjsnfvXjmdTh04cEC//e1vNWXKFEnSlClT9N///d86cOCAZsyYod/+9reSpObm\nZj3zzDO67777JJ276sSmTZt000036be//a1uuOEGvfjii5Kk5557TuXl5Rc8E2duAQAAMCLvvPOO\nli1bFvna4Th33vTkyZPatGmTzpw5o48++kjFxcWaM2eOioqK5HQ6B3w+t9utoqIi1dbWqrKyUr/4\nxS8ueCbO3AIAAGBELr/8ch04cCDydTgcliT98pe/1KpVq/Tqq69q+fLlkcu3xro+sNvtVigUinx9\n++2361//9V81efJk5eTkXPBMlFsAAACMyKpVqxQKhbR06VJ97nOf0+nTpyVJ1157rR599FF96Utf\n0smTJyP7n19u+3595ZVX6uDBg/ryl78sv9+v4uJivf3227r11ltHNBPLEgAAADBi27Zti7n9f//3\nf/ttq6ioiPz6Zz/7WeTX55/9laT8/HyVlZWNaB7O3AIAACAptLW16frrr9eXvvSlEd8FjjO3AAAA\nSArZ2dmjvuZtSp+5Daf2+AAAAIizlG6HdqIHAAAAQFJJ6XILAAAAnI9yCwAAAGNQbgEAADBix44d\nU3l5uR577DHNnj1bN954Y0Ln4WoJAAAABun8u81xe670R2Jfw/aTLMvSzTffrBtuuEH/8A//ELfX\nHwnO3AIAAGDUpk2bJocj8dUy8RMAAAAAcUK5BQAAgDEotwAAAIgL27Zl24m9EwEfKAMAADDIcD8E\nFm8VFRV67LHHdPToUV1//fWjvo3uSFFuAQAAMGKzZs1SRUWFJCX8MmASyxIAAABgEMotAAAAjDHs\nZQnhcFhPPvmkvF6vbrnlFnV0dKiyslJtbW3KyclReXm50tPTJUnV1dWqra2Vw+HQihUrNGfOHElS\nc3Ozdu/erVAopIKCAq1cuXJsjgoAAAAT0rDP3P7hD39QXl5e5Ouamhpdeuml2rJli2bPnq3q6mpJ\nUktLiw4fPqzNmzfr1ltv1b59+yKfmtu3b5/WrFmjrVu36tSpUzp69GicDwcAAAAT2bDKbVtbm44c\nOaKrr746sq2+vl4LFiyQJBUVFam+vl6S1NDQoPnz58vpdCo3N1dTp05VU1OTAoGAurq65PP5+n0P\nAAAAEA/DKrcvvviirrvuOlmWFdkWDAbl8XgkSVlZWQoGg5KkQCAgr9cb2S8rK0t+v7/fdq/XK7/f\nH5eDAAAAAKRhrLl99913lZmZqenTp+v9998fcL/zi+9I+P1+tbe3R23zeDxyuQYZMdQ7qtdMOpYl\nt9s96C5Op3PIfSaSvnwMmpMJiqxEIyuxkZP+yEpsZCUa+fizY8eO6d5775XH49Hhw4fl8Xh08cUX\n6+c//3lC5hnyd+b48eNqaGjQkSNHFAqF1NXVpaqqKnk8HrW3t8vj8SgQCCgzM1PSn8/U9vH7/fJ6\nvQNu73Pw4EEdOHAg6rWXLVum0tLSAWfzH/9w+EeaAhyWFbWuGcOXm5ub6BGQIsgKhousIFUdeLw4\nbs+1bNPBYe9rWZZ+/vOf64orrojb64/EkOX285//vD7/+c9Lkj744AP97ne/09q1a/XSSy/p0KFD\nKikpUV1dnQoLCyVJhYWFqqqq0qJFixQIBHT69Gn5fD5ZlqW0tDQ1NjbK5/Oprq5OCxcujLxOcXFx\n5Dn6eDwenTlzRqFQKOZsib25W/yFbVutra2D7pOWlqaurq5xmij5uVwu5ebmDpqTiYqsRCMrsZGT\n/shKbGQlWl9OEC3Rt96VRnGHspKSElVWVqq2tlbZ2dkqLy+XJOXn52vevHnatm2bnE6nysrKIksW\nysrKoi4FVlBQEHk+r9cbdSa3T2trq3p6egaYIvE/wLiy7UGO9RyXyzXkPhNRKBTi5/IJZCU2shKN\nnAyMrEQjKxiKbdv66le/Ko/Ho9WrV+tv//ZvEzLHBZXbSy65RJdccokkafLkydqwYUPM/ZYsWaIl\nS5b02z5jxgzdc889Fz4lAAAAklqyLEvgDmUAAAAwBh/1AwAAMMiFfAgsXkZ71ax4otwCAABgxGbN\nmqWKiopEjxHBsgQAAAAYg3ILAAAAY1BuAQAAYAzKLQAAAIxBuQUAAIAxKLcAAAAwBuUWAAAAI9Le\n3q7Vq1ertLRUixcv1gsvvKBrrrlGklRTU6P58+drxowZ4zoT17kFAAAwyHd/fXXcnusfv/w/gz6+\nfft2rVy5Ups2bZIktbW1RW7oUFRUpDfffFNLly6N2zzDwZlbAAAAjEhGRoZ+//vfq6WlRZKUnZ0d\neSwrK0vp6enjPhNnbgEAADAiX/nKV9Tc3Kzly5dr8uTJeuqppxI9EmduAQAAMDIul0v333+/amtr\n9Z3vfEcPPvhgokei3AIAAGBkjh8/rp6eHklSXl6ebNvut0+sbWOJZQkAAAAGGepDYPH01ltv6ctf\n/nJkbe22bdt0xx13SJLq6+u1ZcsWHTlyRNdff70eeeQRFRUVjflMlFsAAACMSFlZmcrKyqK2vf76\n65KkuXPnav/+/eM+E8sSAAAAYAzKLQAAAIxBuQUAAIAxKLcAAAAwBuUWAAAAxqDcAgAAwBiUWwAA\nAIxIe3u7Vq9erdLSUi1evFgvvPCCrrnmGknST37yEy1atEiLFy/WD37wg3GbievcAgAAGOSaPfG7\nBe4bax4a9PHt27dr5cqV2rRpkySpra1NlmVJkq677jp9/etflyQtWbJEGzZs0LRp0+I220A4cwsA\nAIARycjI0O9//3u1tLRIkrKzsyOPzZo1K/LrSZMmyeEYn9rJmVsAAACMyFe+8hU1Nzdr+fLlmjx5\nsp566ql+++zatUuf/vSnNWXKlHGZKanLbWdnp9xut1yu2GN2BNrHeaIxZlnKyMgYdBeHwzHkPhOJ\nZVk6e/bsoDmZqMhKNLISGznpj6zERlai9f3X+0Tncrl0//336/7779fLL7+sBx+MXhJRV1enbdu2\nad++feM307i90gikp6crEAiop6cn5uO27HGeaIzZtjo6OgbdJSMjY8h9JhK3262cnBwFg8EBczJR\nkZVoZCU2ctIfWYmNrERzu92JHiEpHD9+XNOnT5fb7VZeXp5s+8/drKmpSXfffbd27dqltLS0cZsp\nqcstAAAALsxQHwKLp7feektf/vKXlZ6eLknatm2b7rjjDknSgw8+qJMnT+qWW26RJD3xxBMqKCgY\n85kotwAAABiRsrIylZWVRW17/fXXJZ27FFgicLUEAAAAGINyCwAAAGNQbgEAAGAMyi0AAACMQbkF\nAACAMSi3AAAAMAblFgAAACOydOlStbS0RL7esWOHvvOd72jZsmX67Gc/q5KSEn300Ufy+/1auHCh\nvF6v/vjHP47pTFznFgAAwCALn9sVt+f6w7ovDfr4+vXr9dxzz2nTpk2SpJ07d8rlcunHP/6xLr/8\ncnV1dcmyLDmdTv3mN7/R3/3d38VttoFw5hYAAAAjsm7dOlVVVUmSAoGAPvroI2VlZWn//v06e/as\n0tLSNGnSJDmdTk2dOjXq9rxjhXILAACAEfH5fOru7tapU6e0d+9erVmzRo888ojeeecdFRUV6eab\nb1ZHR8e4zkS5BQAAwIitXbtWVVVV2rlzp8rLy5WXl6fHH39cR44c0Zw5c7Rjx45xnYdyCwAAgBFb\nt26dnn76aTU3N+uyyy7T0aNHI4/l5eX1W4ow1ksT+EAZAACAQYb6EFi8zZw5U7Zta9WqVZKkZ599\nVs8//7wmT56snJwcPfPMM5KksrIy1dXV6d1339Vdd92l22+/fUzmodwCAABgVF577bXIrx944AE9\n8MAD/fbZt2/fuMzCsgQAAAAYg3ILAAAAY1BuAQAAYAzKLQAAAIxBuQUAAIAxKLcAAAAwRkpfCsxp\nWbr5YunGixI9yeg5LMkO25KsRI8CAAAwLEuXLtXOnTuVn58vSdqxY4fef/99vfzyy7IsS6FQSJWV\nlWpsbNQ3v/lNTZo0ST6fT9u3b5fT6RyTmVK63FqSJh9sV/r/8yd6lFHrKZqswGezEz0GAABIcSW/\naIrbc9Xc6hv08fXr1+u5557Tpk2bJEk7d+6Uy+XSj3/8Y11++eXq6uqSZVlyOBx65ZVXlJaWpn/8\nx3/Unj17tHbt2rjNeb6ULreSpFBYjs5woqcYve6xvRUdAABAvK1bt0533HGHNm3apEAgoI8++khX\nXHGF9u/fr1mzZmny5MmSpE996lOR75k0aZIcjrFbGTtkuQ2FQnrqqafU29urcDisK664Qp/97GfV\n0dGhyspKtbW1KScnR+Xl5UpPT5ckVVdXq7a2Vg6HQytWrNCcOXMkSc3Nzdq9e7dCoZAKCgq0cuXK\nMTswAAAAjC2fz6fu7m6dOnVKL774otasWaNvfOMb+ud//mcVFRXpL//yL/Wzn/1MGRkZkqRjx45p\n//79+qd/+qcxm2nI2uxyubRhwwbdfffduvvuu3XkyBE1NjaqpqZGl156qbZs2aLZs2erurpaktTS\n0qLDhw9r8+bNuvXWW7Vv3z7Z9rmzkvv27dOaNWu0detWnTp1SkePHh2zAwMAAMDYW7t2raqqqrRz\n506Vl5crLy9Pjz/+uI4cOaI5c+Zox44dkiS/36/bb79dTz/99Jitt5WGebWESZMmSTp3FjccDsuy\nLNXX12vBggWSpKKiItXX10uSGhoaNH/+fDmdTuXm5mrq1KlqampSIBBQV1eXfD5fv+8BAABAalq3\nbp2efvppNTc367LLLos6eZmXlyfbttXb26ubb75Z3/72tyP/oz9WhrXmNhwO68knn9Tp06f1mc98\nRj6fT8FgUB6PR5KUlZWlYDAoSQoEApo5c2bke7OysuT3++VwOOT1eiPbvV6v/P7U/yAYAABAMhnq\nQ2DxNnPmTNm2rVWrVkmSnn32WT3//POaPHmycnJy9Mwzz+hXv/qVXn/9dT388MN6+OGHtWnTJpWX\nl4/JPMMqtw6HQ3fffbc6Ozv161//Wi0tLf32sazRXcLK7/ervb09apvH45HLNfCI3b0GfJDsE9xu\n96CPO53OIfeZSPryMVhOJiqyEo2sxEZO+iMrsZGVaOQj2muvvRb59QMPPKAHHngg6vHbbrtNt912\n27jMckG/M+np6brkkkt09OhReTwetbe3y+PxKBAIKDMzU9Kfz9T28fv98nq9A27vc/DgQR04cCDq\n9ZYtW6bS0tIB5zn7YeOFjJ/0LOvc6XtcuNzc3ESPgBRBVjBcZAVITUOW22AwKKfTqfT0dPX09Oi9\n995TSUmJCgsLdejQIZWUlKiurk6FhYWSpMLCQlVVVWnRokUKBAI6ffq0fD6fLMtSWlqaGhsb5fP5\nVFdXp4ULF0Zep7i4OPIcfTwej86cOaNQKBRzNtMunmXbUmtr66D7pKWlqaura5wmSn4ul0u5ubmD\n5mSiIiubJ5QKAAAcGElEQVTRyEps5KQ/shIbWYnWlxMknyHLbXt7u3bt2iXbtmXbtubPn6/LLrtM\nM2fOVGVlpWpra5WdnR1ZN5Gfn6958+Zp27ZtcjqdKisriyxZKCsri7oUWEFBQeR1vF5v1JncPq2t\nrerp6RlgOtPqrQY51nNcLteQ+0xEoVCIn8snkJXYyEo0cjIwshKNrCBVWHbfdbqS1GDltru3V57f\ntWvyb1P/g2ldV2UqcH2OXOmDX8AiIyNDHR0d4zRV8nO73crLyxviH0ETE1mJRlZiIyf9kZXYyEq0\nvpwg+Yzd7SEAAACAcUa5xZgIhbvH5XV6enrU3Nw85mdXxut4AADA6HAdC4wJl2OSfl59Q6LHiJs7\nljyf6BEAAEg6S5cu1c6dO5Wfny9Jevrpp7Vx48aoD2Nu3LhRX/va19TY2KhHH31UkyZN0rRp0/Tc\nc8+ppqZGd999t06fPq3m5ua4zES5BQAAMMgr3wnG7blK/zlz0MfXr1+v5557Tps2bZIkVVVVafny\n5aqvr9fcuXPV29urN998Uz/96U911VVX6c0335TT6VRbW5ukc3esffPNN7V06dK4zcyyBAAAAIzI\nunXrVFVVJencXWpPnDih2267TZWVlZKkl19+OXLPgs7OTtXU1CgcDis7O1vSufsjpKenx3Umyi0A\nAABGxOfzqbu7W6dOndLevXu1evVq3XDDDXr++XPL+Xbu3Bm5XOwvfvELPfbYYyooKNDDDz88ZjNR\nbgEAADBia9euVVVVVaTIZmVlacaMGXrnnXf0xhtvaPHixZKkq6++Wjt37lRDQ4NeffVVvfvuu2My\nD+UWAAAAI7Zu3To9/fTTam5u1mWXXSbp3FrcLVu2RK2lPXr0qKRzNwTJzs7W+bdaiOdtF/hAGQAA\ngEGG+hBYvM2cOVO2bWvVqlWRbatXr9add96phx56KLLt3nvv1cmTJ+VwOLRkyRIVFhaqvr5eW7Zs\n0ZEjR3T99dfrkUceUVFR0ajmodwCAABgVF577bWor7OysnT27Nmobbt37+73fXPnztX+/fvjOgvL\nEgAAAGAMyi0AAACMQbkFAACAMSi3AAAAMAblFgAAAMag3AIAAMAYKV1uHZYlK9FDxJEjftcvBgAA\nGHNLly5VS0tL5Ounn35aLlf0lWY3btyo1157Tb/+9a/1V3/1V1q2bJnWrVsnSfrJT36iRYsWafHi\nxfrBD34Ql5m4zi0AAIBBzt71h7g91+QnFg76+Pr16/Xcc89p06ZNkqSqqiotX75c9fX1mjt3rnp7\ne/Xmm2/qpz/9qa666iq9+eabcjqdamtrkyRdd911+vrXvy5JWrJkiTZs2KBp06aNauaUPnMLAACA\nxFm3bp2qqqokSYFAQCdOnNBtt92myspKSdLLL7+s0tJSSVJnZ6dqamoUDoeVnZ0tSZo1a1bkuSZN\nmiSHY/TVlHILAACAEfH5fOru7tapU6e0d+9erV69WjfccIOef/55SdLOnTtVXl4uSfrFL36hxx57\nTAUFBXr44YejnmfXrl369Kc/rSlTpox6JsotAAAARmzt2rWqqqqKFNmsrCzNmDFD77zzjt544w0t\nXrxYknT11Vdr586damho0Kuvvqp3331XklRXV6dt27bpsccei8s8rLkFAADAiK1bt0433XSTQqGQ\nLrvsMknn1uJu2bJFS5cujex39OhRzZkzRy6XS9nZ2bJtW01NTbr77ru1a9cupaWlxWUeyi0AAIBB\nhvoQWLzNnDlTtm1r1apVkW2rV6/WnXfeqYceeiiy7d5779XJkyflcDi0dOlSFRYW6utf/7pOnjyp\nW265RZL0xBNPqKCgYFTzUG4BAAAwKq+99lrU11lZWTp79mzUtt27d/f7vp/85Cdxn4U1twAAADAG\n5RYAAADGoNwCAADAGJRbAAAAGCOpP1DW2dkpt9vd7x7FfdqDwXGeaOxlZGQM+rjD4Rhyn2TQ0dGR\n6BHiLhV+7udLlayMF8uydPbs2UHfUyYictIfWYmNrESzLCvRI2AASf2nNj09XYFAQD09PTEft8d5\nnvEwVCnMyMgwsjimglT7uZOVaG63Wzk5OQoGgwO+p0xE5KQ/shIbWYnmdrsTPQIGwLIEAAAAGINy\nCwAAAGNQbgEAAGCMpF5zi9TVHQ7pjiXPJ3qMuGjrbE30CAAAYJgotxgTkxwurXnjiUSPERd7rrkr\n0SMAAIBhYllCiuGTqgAAAAPjzG2S+Xn1DYkeIS5MWZIAAABSC2duAQAAYAzKLQAAAIxBuQUAAIAx\nWHObZFirCgAAMHKU2yTD5bMAAABGjmUJAAAAMAblFgAAAMag3AIAAMAYlFsAAAAYg3ILAAAAY1Bu\nAQAAYAzKLQAAAIxBuQUAAIAxKLcAAAAwBuUWAAAAxqDcAgAAwBiUWwAAABiDcgsAAABjuIbaoa2t\nTbt27VIwGJRlWbr66qu1aNEidXR0qLKyUm1tbcrJyVF5ebnS09MlSdXV1aqtrZXD4dCKFSs0Z84c\nSVJzc7N2796tUCikgoICrVy5cmyPDgAAABPKkGduHQ6Hli9frs2bN2vjxo1644031NraqpqaGl16\n6aXasmWLZs+ererqaklSS0uLDh8+rM2bN+vWW2/Vvn37ZNu2JGnfvn1as2aNtm7dqlOnTuno0aNj\ne3QAAACYUIYst1lZWZo+fbokKS0tTdOmTZPf71d9fb0WLFggSSoqKlJ9fb0kqaGhQfPnz5fT6VRu\nbq6mTp2qpqYmBQIBdXV1yefz9fseAAAAIB4uaM3tmTNndOLECc2cOVPBYFAej0fSuQIcDAYlSYFA\nQF6vN/I9WVlZ8vv9/bZ7vV75/f54HAMAAAAgaRhrbvt0dXWpoqJCK1euVFpaWr/HLcsa1SB+v1/t\n7e1R2zwej1yugUcMdXWN6jWBC+F2uxM9wgVxOp0pN/NY6nsvGew9ZSIiJ/2RldjISjTykbyG9TvT\n29uriooKFRUVae7cuZLOFc/29nZ5PB4FAgFlZmZK+vOZ2j5+v19er3fA7X0OHjyoAwcORL3usmXL\nVFpaOuBcxxsbhzM+EBd5eXmJHgFxkJubm+gRkCLICpCahlVu9+zZo7y8PC1atCiyrbCwUIcOHVJJ\nSYnq6upUWFgY2V5VVaVFixYpEAjo9OnT8vl8sixLaWlpamxslM/nU11dnRYuXBh5vuLi4shz9PF4\nPDpz5oxCoVA8jhUYldbW1kSPcEHS0tLUxf9uRLhcLuXm5vKe8gnkpD+yEhtZidaXEySfIcvt8ePH\n9dZbbyk/P18//vGPJUnXXnutFi9erMrKStXW1io7O1vl5eWSpPz8fM2bN0/btm2T0+lUWVlZZMlC\nWVlZ1KXACgoKIq/j9XqjzuT2aW1tVU9PT1wOFhiNVMuhy+VKuZnHQygU4udyHnIyMLISjawgVQxZ\nbi+++GI9+OCDMR/bsGFDzO1LlizRkiVL+m2fMWOG7rnnngscEQAAABge7lAGAAAAY1BuAQAAYAzK\nLQAAAIxBuQUAAIAxKLcAAAAwBuUWAAAAxqDcAgAAwBiUWwAAABiDcgsAAABjUG4BAABgDMotAAAA\njEG5BQAAgDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGMOV6AFwHkvac81diZ4iLrp77USPAAAA\nJiDKbRKxJN34ihmlsKLUSvQIAABgAmJZAgAAAIxBuQUAAIAxKLcAAAAwBuUWAAAAxqDcAgAAwBiU\nWwAAABiDcgsAAABjUG4BAABgDMotAAAAjEG5BQAAgDGS+va7nZ2dcrvdcrlijxkIBsd5IkxkGRkZ\niR7hgjgcjpSbeSxZlqWzZ88O+p4yEZGT/shKbGQlmmVxm/lkldR/atPT0xUIBNTT05PoUQB1dHQk\neoQLkpGRkXIzjyW3262cnBwFg0HeU85DTvojK7GRlWhutzvRI2AALEsAhqG71070CBdsoL+EUvFY\nAAAYrqQ+cwski0lOSze+YkYprCjlv9IAAObizC0AAACMQbkFAACAMSi3AAAAMAblFgAAAMag3AIA\nAMAYlFsAAAAYg3ILAAAAY1BuAQAAYAzKLQAAAIxBuQUAAIAxKLcAAAAwBuUWAAAAxqDcAgAAwBiU\nWwAAABiDcgsAAABjUG4BAABgDMotAAAAjEG5BQAAgDEotwAAADAG5RYAAADGcCV6AJipu9fWnmvu\nSvQYAABggqHcYkxMclq68RU70WPETUWplegRAADAMLAsAQAAAMYY8sztnj179O677yozM1P33HOP\nJKmjo0OVlZVqa2tTTk6OysvLlZ6eLkmqrq5WbW2tHA6HVqxYoTlz5kiSmpubtXv3boVCIRUUFGjl\nypVjeFgAAACYiIY8c7tgwQLddtttUdtqamp06aWXasuWLZo9e7aqq6slSS0tLTp8+LA2b96sW2+9\nVfv27ZNtn/uv6X379mnNmjXaunWrTp06paNHj47B4QAAAGAiG7Lczpo1SxkZGVHb6uvrtWDBAklS\nUVGR6uvrJUkNDQ2aP3++nE6ncnNzNXXqVDU1NSkQCKirq0s+n6/f9wAAAADxMqI1t8FgUB6PR5KU\nlZWlYDAoSQoEAvJ6vZH9srKy5Pf7+233er3y+/2jmRsAAADoJy5XS7Cs0X+S3O/3q729PWqbx+OR\nyzXwiKGurlG/LjARud3uRI8w7vreSwZ7T5mInE7nhMzDYMhKbGQlGvlIXiP6nfF4PGpvb5fH41Eg\nEFBmZqakP5+p7eP3++X1egfcfr6DBw/qwIEDUduWLVum0tLSAec43tg4kvGBCS8vLy/RIyRMbm5u\nokdAiiArQGoaVrnt+1BYn8LCQh06dEglJSWqq6tTYWFhZHtVVZUWLVqkQCCg06dPy+fzybIspaWl\nqbGxUT6fT3V1dVq4cGHUcxYXF0eep4/H49GZM2cUCoVGc4wAPqG1tTXRI4w7l8ul3Nxc3lM+IS0t\nTV38L1gUshIbWYnWlxMknyHL7c6dO/XBBx+oo6NDP/zhD1VaWqqSkhJVVFSotrZW2dnZKi8vlyTl\n5+dr3rx52rZtm5xOp8rKyiJLFsrKyqIuBVZQUBD1Ol6vt9/ZXOncX8I9PT3xOFYA/7+J/GcqFApN\n6OP/JJfLxc9jAGQlGllBqhiy3K5fvz7m9g0bNsTcvmTJEi1ZsqTf9hkzZkSukwsAAACMBe5QBgAA\nAGNQbgEAAGAMyi0AAACMQbkFAACAMSi3AAAAMAblFgAAAMag3AIAAMAYlFsAAAAYg3ILAAAAY1Bu\nAQAAYAzKLQAAAIxBuQUAAIAxXIkeAH9mOaWKUivRY8RHyE70BAAAYAKi3CYTt0M5D32Y6Cni4uMH\nL5JEwQUAAOOLZQkAAAAwBuUWAAAAxqDcAgAAwBiUWwAAABiDcgsAAABjUG4BAABgDMotAAAAjEG5\nBQAAgDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGINyCwAAAGNQbgGkrO5wONEjAACSjCvRAwym\ns7NTbrdbLlfsMQPB4DhPBKS+7l5bk5xWoseID9tSRkbGsHa1LEtnz54d9D1lInI4HMP+GU4UZCU2\nshLNsgx5HzVQUv+pTU9PVyAQUE9PT6JHAYwxyWnpxlfsRI8RFxWlljo6Ooa1r9vtVk5OjoLBIO8p\n58nIyBj2z3CiICuxkZVobrc70SNgACxLAAAAgDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGINy\nCwAAAGMk9aXAAMTXk5+xJVmqKE396zN+HAxLSv3jAADEF+UWmEByMh3KeejDRI8RHw9edEG79/T0\nqLm5eYyGGb1Qb5dczrRxf92xum5pKNwtl2PSmDw3AAyGcgsgpf28+oZEjxAXdyx53phjkc4dDwAk\nAuUWQEozpUR1h8OJHgEAjMAHygCkrO5eM24jLEmyWT8MAPHAmVsAKWuS09KNr5hRcE34kN/5untt\nTXKm5jF9cn12Kh8LMBFRbgEgCXT32sYssejDPzyST3c4pEkO/uqH2Ug4ACQBk85CS2YVQkla88YT\niR4hLvZcc1eiRwDGHOUWQGoK2ZLLjGv2Sjp3PACAUaPcAkhNLsuca/ZK+vjBiyRRcDG2RrMsYayu\niTxSLLHAQEgFAAATxCSHiyUWMB7lFgCAQXT32sYUKaMunwcMgHILAMAgTPqwnzFr1IFBUG6BITz5\nGVuSQR9cAgDAYJRbjI2QbVAZNOeDS+c+tARgojJtiQU310AslFuMDYM+yU4hxLgw6B+EHwfDksw4\nFtOwxAITAeUWAJKBQf8gFP8gBJBAjkQPAAAAAMQL5RYAAADGGPdlCUeOHNELL7wg27Z19dVXq6Sk\nZLxHAAAAgKHGtdyGw2H95je/0YYNG5SVlaUnn3xShYWFysvLG88xAABjKWRLLjMun8eH44DUM67l\ntqmpSVOnTlVOTo4kaf78+WpoaKDcAoBJTPpw3P0zJZnxyfxwjxlXSQCGMq7lNhAIyOv1Rr72er1q\namoazxEAABg+g4r6xwYVdc6oYzBJcykwv9+v9vb2qG0ej0cu18Ajhrq61PVXXnX9ZdZYjzf2kuZ3\nAgBgJIOKet/l5txud8JGGKyfILEs27bH7f8pPvzwQ7366qv6yle+Ikmqrq6WZVkqKSnRK6+8ogMH\nDkTtP2vWLK1bty7qbC9wPr/fr4MHD6q4uJicYFBkBcNFVjAc5CR5jes/O3w+n06fPq2PP/5YHo9H\nb7/9ttavXy9JKi4uVmFhYWTf1tZW7dq1S+3t7YQGA2pvb9eBAwdUWFhITjAosoLhIisYDnKSvMa1\n3DocDn3hC1/Qjh07ZNu2rrrqqsiHybxeL+EAAADAqIz7gpGCggIVFBSM98sCAABgAuAOZQAAADCG\n89vf/va3Ez1ELLZta9KkSbrkkkuUlpaW6HGQpMgJhousYLjICoaDnCSvpLyOxfm36HW73dyidwL6\n0Y9+pPT0dFmWJYfDoW984xvq6OhQZWWl2tralJOTo/Lycnm9XpWWlqq6ulq1tbVyOBxasWKF5syZ\nI0lqbm7W7t27FQqFVFBQoJUrVyb4yDBae/bs0bvvvqvMzEzdc889khQzG+np6ZLULxt9a/sHykYo\nFNKuXbv00UcfafLkyVq/fn3kxjNILbGy8uqrr+rgwYPKzMyUJF177bWRpXJkZWJqa2vTrl27FAwG\nZVmWrr76ai1atGjY7ysXXXQRWUk2dpLp7e21H330UfvMmTN2KBSy//3f/91uaWlJ9FgYZz/60Y/s\ns2fPRm176aWX7Orqatu2bbu6utp+6aWXbNu27f/7v/+zH3/8cTsUCtmnT5+2H330UTscDtu2bdtP\nPvmk3djYaNu2be/YscM+cuTIOB4FxsIHH3xgNzc329u2bYtsi2c2Xn/9dXvv3r22bdv2W2+9ZVdU\nVIzbsSG+YmXllVdesV977bV++7a0tJCVCcrv99vNzc22bdt2Z2en/W//9m92S0sL7yspLOnW3J5/\ni16n0xm5RS8mHvsTl2Cur6/XggULJElFRUWqr6+XJDU0NGj+/PlyOp3Kzc3V1KlT1dTUpEAgoK6u\nLvl8vn7fg9Q1a9YsZWRkRG2LZzbOf64rrrhC77///ngdGuIsVlYGUl9fT1YmqKysLE2fPl2SlJaW\npmnTpsnv9/O+ksKSblkCt+hFn+3bt8vhcKi4uFjFxcUKBoPyeDySzr0ZBYNBSecyM3PmzMj3ZWVl\nye/3y+Fw9MuS3+8f34PAuIhnNs5/D3I4HEpPT9fZs2c1efLk8TocjLHXX39ddXV1mjFjhpYvX670\n9HSyAknSmTNndOLECc2cOZP3lRSWdOUWkKSNGzdG3kx27NihadOm9dvHsrivOGKLZzY++T8ISG3X\nXHONli1bJsuy9PLLL+vFF1/UmjVr4vLcZCW1dXV1qaKiQitXroz5ATHeV1JH0i1LyMrKUltbW+Rr\nv9/PzR0moKysLElSZmam5s6dq6amJnk8HrW3t0s696/gvg+E9P2ruU9fZgbaDvPEMxvnPxYOh9XV\n1cXZFYNkZmZGSkpxcXHkfwbJysTW29uriooKFRUVae7cuZJ4X0llSVduz79FbygU0ttvvx11W16Y\nr7u7W11dXZFfv/fee8rPz1dhYaEOHTokSaqrq4vkorCwUG+//bZCoZDOnDmj06dPy+fzKSsrS2lp\naWpsbJRt21Hfg9T2ybMe8czG+c91+PBhzZ49exyPDPH2yawEAoHIr9955x3l5+dLIisT3Z49e5SX\nl6dFixZFtvG+krosOwnPjZ9/KbCrrrpKS5YsSfRIGEdnzpzRs88+K8uyFA6HdeWVV2rJkiU6e/as\nKisr5ff7lZ2drfLy8siHRaqrq/U///M/cjqdXArMcDt37tQHH3ygjo4OZWZmqrS0VHPnzlVFRUVc\nshEKhVRVVaUTJ04oIyND69evV25ubsKOFyMXKyvvv/++Tpw4IcuylJOTo1WrVkXWVZKVien48eN6\n6qmnlJ+fHzmrf+2118rn88Xt7xyyMr6SstwCAAAAI5F0yxIAAACAkaLcAgAAwBiUWwAAABiDcgsA\nAABjUG4BAABgDMotAAAAjEG5BQAAgDEotwAAADAG5RYAAADGoNwCAADAGJRbAAAAGINyCwAAAGNQ\nbgEAAGAMyi0AAACMQbkFAACAMSi3AAAAMAblFgAAAMag3AIAAMAYlFsAGCc1NTW6/PLLEz0GABjN\nsm3bTvQQAAAAQDxw5hYAxkFvb2+iRwCACYFyCwCjMHv2bH3ve9/TvHnzNHXqVG3cuFHd3d06cOCA\nLrroIn3/+9/X9OnT9bWvfS2yrU9jY6PWrVun/Px85eXlaevWrZHHfvazn+mKK67Q1KlTtXLlSh0/\nfjwRhwcAKYdyCwCj9Mtf/lL79+/Xe++9p4aGBv3Lv/yLJOnEiRP6+OOPdfz4cT355JOSJMuyJEnh\ncFg33HCDZs+erePHj6upqUk33XSTJGnPnj363ve+p927d6u1tVVLlizRzTffnJiDA4AUQ7kFgFHa\nsmWLZsyYoZycHN1///361a9+JUlyOp166KGH5Ha7lZaWFvU9f/jDH/TRRx/p+9//vtLT0zVp0iT9\n9V//tSTpiSee0Le+9S1ddtllcjgcuu+++3To0CF9+OGH435sAJBqKLcAMEozZ86M/HrWrFlqbm6W\nJOXl5cntdsf8nsbGRs2aNUsOR/+34WPHjumb3/ympkyZoilTpmjq1KmyLEtNTU1jcwAAYBBXogcA\ngFR3/hnVY8eOacaMGZL+vAQhlosuukjHjx9XOBzuV3AvvvhiPfDAAyxFAIAR4MwtAIzStm3b1NTU\npNOnT+u73/1uZO3sYFda/MxnPqPp06frvvvu09mzZ9XV1aXf/e53kqS77rpL3/3ud/XHP/5RktTW\n1qadO3eO/YEAgAEotwAwSrfccouuv/56zZkzRwUFBbr//vslDX7m1uFwaO/evTpy5IguvvhiXXTR\nRaqoqJAkffGLX9R9992nm266STk5OfqLv/gLvfDCC+NyLACQ6riJAwCMwuzZs/XTn/5Un/vc5xI9\nCgBAnLkFAACAQSi3ADAKgy09AACMP5YlAAAAwBicuQUAAIAxKLcAAAAwBuUWAP6/dutABgAAAGCQ\nv/U9vqIIgA25BQBgQ24BANiQWwAANgKMjXWv2H9ZfQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1175f06d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(diamonds, aes(x='price', fill='clarity')) + geom_histogram()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
